Sold by: Epik Solutions
FieldOps.AI by Epikso is an AI-powered solution that transforms System Asset Inspection and Utility Vegetation Management (UVM) by integrating real-time GIS mapping, predictive analytics, and smart crew deployment. It supports reporting for both internal use and external compliance. Built on scalable AWS infrastructure, it enables dynamic work order management, enhances field visibility, and drives data-backed decisions.
Overview
FieldOps.AI is a cloud-native field operations platform purpose-built for System Asset Inspection and Utility Vegetation Management (UVM), delivering intelligent automation, spatial analysis, and predictive insights. Powered by AWS, the platform uses scalable compute (Amazon EC2, Lambda), secure storage (Amazon S3), and real-time data flow (Amazon Kinesis, AWS Data Pipeline) to streamline and modernize UVM operations.
At the core of FieldOps.AI is a robust data architecture. All incoming field and telemetry data is ingested through real-time data pipelines using Amazon Kinesis and AWS Glue, feeding into a centralized data lake on Amazon S3. This raw data is cleaned, transformed, and enriched before being loaded into Amazon Redshift, where it supports complex analytical queries, dashboards, and predictive models.
AI/ML-powered analytics, developed and deployed via Amazon SageMaker, enable intelligent work order prioritization and risk scoring based on historical patterns, weather data, and asset criticality.
Additionally, FieldOps.AI provides data-driven crew optimization, using historical and real-time data to balance workload, geography, and urgency — helping utilities reduce response time and increase compliance. Mobile-first design ensures real-time synchronization between field teams and back-office operations, supported by AWS’s low-latency infrastructure.
Key capabilities include: Dynamic GIS mapping and geospatial analytics Automated, intelligent work order workflows Optimized crew deployment and intelligent scheduling based on resource availability, risk, and terrain Real-time, mobile-ready data capture and insights Seamless scalability and high availability via AWS CloudAWS-native data lake and warehouse architecture for unified, scalable data management Automated data pipelines for seamless ingestion, transformation, and delivery Predictive modeling and risk assessment with Amazon SageMaker
Highlights
- Dynamic GIS mapping and spatial analysis with AWS backed geospatial tools for enhanced asset and veg management visibility and asset tracking
- AI-driven work order prioritization leveraging predictive models hosted on AWS SageMaker for proactive infrastructure risk mitigation
- Optimized crew deployment through real-time analytics and historical data trends, powered by AWS for maximum field efficiency
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